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Highly accelerated EPI with wave encoding and multi-shot simultaneous multislice imaging.

Jaejin Cho1,2, Congyu Liao3,4, Qiyuan Tian1,2

  • 1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, Massachusetts, USA.

Magnetic Resonance in Medicine
|June 9, 2022
PubMed
Summary
This summary is machine-generated.

Wave-encoded Echo Planar Imaging (Wave-EPI) uses sinusoidal gradients to enable faster, high-resolution brain imaging with fewer artifacts. This technique reduces image distortions and improves signal quality for diffusion and functional neuroimaging applications.

Keywords:
SMS imagingdiffusion imagingfunctional imagingg-Sliderlow-rank reconstructionmulti-shot EPIparallel imagingwave-CAIPIwave-EPI

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Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Neuroimaging

Background:

  • Echo Planar Imaging (EPI) is crucial for fast MRI acquisition but suffers from artifacts and g-factor penalties at high acceleration rates.
  • Existing acceleration techniques often struggle to balance speed with image quality, limiting applications in diffusion and functional imaging.

Purpose of the Study:

  • To introduce Wave-EPI, a novel acquisition and reconstruction technique for highly accelerated EPI.
  • To reduce the g-factor penalty and image artifacts commonly associated with accelerated EPI.

Main Methods:

  • Wave-EPI employs sinusoidal gradients during EPI readout to spread aliasing, optimizing the use of 3D coil sensitivity profiles.
  • A
  • half-cycle
  • sinusoidal gradient is proposed to increase voxel spreading within slew rate and nerve stimulation constraints.
  • Multi-shot Wave-EPI minimizes distortion and blurring at high resolutions, with structured low-rank regularization addressing shot-to-shot phase variations.
  • Gradient imperfections are managed using polarity-specific point spread functions calibrated via a FLEET-based scan.

Main Results:

  • Wave-EPI successfully enabled whole-brain single-shot gradient-echo and multi-shot spin-echo EPI acquisitions at high acceleration factors (Rin × Rsms = 3 × 3) at 3T.
  • Combined with g-Slider encoding, Wave-EPI improved signal-to-noise ratio in 1 mm isotropic diffusion imaging.
  • Compared to blipped-CAIPI, Wave-EPI achieved up to 1.21-fold and 1.37-fold reductions in average and maximum g-factors, respectively.

Conclusions:

  • Wave-EPI offers a method for highly accelerated single- and multi-shot EPI with significantly reduced g-factor and artifacts.
  • This technique holds promise for advancing clinical and neuroscientific applications by enhancing spatial and temporal resolution in functional and diffusion MRI.